This coverage was identified on the USGS Water Resources NSDI Node site at https://www.usgs.gov/ngpo/. The coverage contains the state boundaries of the southern region of the continental United States. These boundaries were derived from the Digital Line Graph (DLG) files representing the 1:100,000 scale map in the National Atlas of the United States. The data was then modified by USDA Forest Service Personnel for use in the Southern Forest Resource Assessment and exported to a shapefile (please see Process Steps below).This shapefile is used as a base map for a variety of applications.Metadata modified on 6/08/2011 to include DOI and other minor modifications to the metadata. As of 6/08/2011 data were also available at: //www.srs.fs.usda.gov/sustain/data/. Minor metadata updates on 02/26/2013 and 08/13/2014. Minor metadata updates on 12/06/2016.

This coverage was identified on the USGS Water Resources NSDI Node site at https://www.usgs.gov/ngpo/. The coverage contains the state boundaries of the southern region of the continental United States. These boundaries were derived from the Digital Line Graph (DLG) files representing the 1:2,000,000 scale map in the National Atlas of the United States. The data was then modified by USDA Forest Service Personnel for use in the Southern Forest Resource Assessment and exported to a shapefile (please see Process Steps below).This shapefile is used as a base map for a variety of applications.Metadata was updated on 6/08/2011 when data became available through this archive. Minor metadata updates on 04/18/2013. Minor metadata updates on 12/06/2016.

Data were originally made available at //www.srs.fs.usda.gov/sustain/data/.

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological

This dataset captures in digital form the results of previously published U.S. Geological Survey (USGS) Water Mission Area studies related to water resource assessment of Cenozoic strata and unconsolidated deposits within the Mississippi Embayment and the Gulf Coastal Plain of the south-central United States. The data are from reports published from the late 1980s to the mid-1990s by the Gulf Coast Regional Aquifer-System Analysis (RASA) studies and in 2008 by the Mississippi Embayment Regional Aquifer Study (MERAS). These studies, and the data presented here, describe the geologic and hydrogeologic units of the Mississippi embayment, Texas coastal uplands, and the coastal lowlands aquifer systems, south-central United States. This dataset supercedes a previously released dataset on USGS ScienceBase (https://doi.org/10.5066/P9JOHHO6) that was found to contain errors. Following initial release of data, several types of errors were recognized in the well downhole stratigraphic data. Most of these errors were the result of unrecognized improper results in the optical character recognition conversion from the original source report. All downhole data have been thoroughly checked and corrected, data tables were revised, and new point feature classes were created for well location and WellHydrogeologicUnit. GIS data related to the geologic map and subsurface contours were correct in original release and are retained here in original form; only the well data have been revised from the initial data release. The Mississippi embayment, Texas coastal uplands, and coastal lowlands aquifer systems underlie about 487,000 km2 in parts of Alabama, Arkansas, Florida, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee, and Texas from the Rio Grande on the west to the western part of Florida on the east. The previously published investigations divided the Cenozoic strata and unconsolidated deposits within the Mississippi Embayment and the Gulf Coastal Plain into 11 major geologic units, typically mapped at the group level, with several additional units at the formational level, which were aggregated into six hydrogeologic units within the Mississippi embayment and Texas coastal uplands and into five hydrogeologic units within the Coastal Lowlands aquifer system. These units include the Mississippi River Valley alluvial aquifer, Vicksburg-Jackson confining unit (contained within the Jackson Group), the upper Claiborne aquifer (contained within the Claiborne Group), the middle Claiborne confining unit (contained within the Claiborne Group), the middle Claiborne aquifer (contained within the Claiborne Group), the lower Claiborne confining unit (contained within the Claiborne Group), the lower Claiborne aquifer (contained within the Claiborne Group), the middle Wilcox aquifer (contained within the Wilcox Group), the lower Wilcox aquifer (contained within the Wilcox Group), and the Midway confining unit (contained within the Midway Group). This dataset includes structure contour and thickness data digitized from plates in two reports, borehole data compiled from two reports, and a geologic map digitized from a report plate. Structure contour and thickness maps of hydrogeologic units in the Mississippi Embayment and Texas coastal uplands had been previously digitized by a USGS study from georeferenced images of altitude and thickness contours in USGS Professional Paper 1416-B (Hosman and Weiss, 1991). These data, which were stored on the USGS Water Mission Area’s NSDI node, were downloaded, reformatted, and attributed for present dataset. Structure contour maps of geologic units in the Mississippi Embayment and Texas coastal uplands were digitized and attributed from georeferenced images of altitude and thickness contours in USGS Professional Paper 1416-G (Hosman, 1996) for this data release. Borehole data in this data release include data compiled for USGS Gulf Coast RASA studies in which a scanned version of a USGS report (Wilson and Hosman, 1987) was converted through optical character recognition and then manipulated to form a data table, and from borehole data compiled for the subsequent MERAS study (Hart and Clark, 2008) where an Excel workbook was downloaded and manipulated for use in a GIS and as part of this dataset. The digital geologic map was digitized from Plate 4 of USGS Professional Paper 1416-G (Hosman, 1996) and then attributed according to the USGS National Cooperative Geologic Mapping Program’s GeMS digital geologic map schema. The digital dataset a digital geologic map with contacts and faults and geologic map polygons distributed as separate feature classes within a geographic information system geodatabase. The geologic map database is a digital representation of the geologic compilation of the Guld Coast region originally published as Plate 4 of USGS Professional Paper 1416-G (Hosman, 1996). The dataset includes a second geographic information system geodatabase that contain digital structure contour and thickness data as polyline feature classes for all of the hydrogeologic units contoured in USGS Professional Paper 1416-B (Hosman and Weiss, 1991) and all of the geologic units contoured in USGS Professional Paper 1416-G (Hosman, 1996). The geodatabase also contains separate point feature classes that portray borehole location and the depth to hydrogeologic units penetrated downhole for all boreholes compiled for the USGS RASA sturdies by Wilson and Hosman (1987) and for the subsequent USGS MERAS study (Hart and Clark, 2008). Borehole data are provided in Microsoft Excel spreadsheet that includes separate TABs for well location and tabulation of the depths to top and base of hydrogeologic units intercepted downhole, in a format suitable for import into a relational database. Each of the geographic information system geodatabases include non-spatial tables that describe the sources of geologic or hydrogeologic information, a glossary of terms, and a description of units. Also included is a Data Dictionary that duplicates the Entity and Attribute information contained in the metadata file. To maximize usability, spatial data are also distributed as shapefiles and tabular data are distributed as ascii text files in comma separated values (CSV) format. The landing page to for this data release contains a url to an external web resource where the downhole well data and a single contoured surface from the data release are rendered in 3D and can be interactively viewed by the user.

This geologic map database consists of new geologic mapping, at a 1:24,000 scale, along the southern part of the Bartlett Springs Fault Zone in the northern Coast Ranges, California. The geologic map (published as Scientific Investigations Map 3514) covers an area of 258 square miles in Lake, Napa, Colusa, and Yolo Counties; work, which was undertaken between 2016 and 2021, was supported by the USGS National Cooperative Geologic Mapping Program. This geodatabase contains the most up-to-date and highest resolution mapping in the region. Results and observations reported here help elucidate the geologic deformational history of the area, as well as the relation between older and active structures. Please consult the accompanying pamphlet and the Description of Map Units (in the pamphlet) for a detailed presentation and interpretation of data and discussion of results. The report contains the pamphlet and two map sheets that include the geologic map, a Correlation of Map Units, four ...

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

The Great Basin is characterized by strong patterns of precipitation along approximate north-south gradients (Miller and others, 2013). Hence, we used a hydrographic boundary layer developed by Mason (1999), to divide the region-wide extent of sage-grouse habitat mapping analysis into North and South regions that align coarsely with respective mesic (wet) and xeric (dry) regions of the state. Flood regions are based largely on patterns of snowmelt, summer thunderstorms or cyclonic rainfall, and the 8-digit Watershed Boundary Dataset (WBD, 2015) was used to select appropriate watersheds within our mapping extent that corresponded to the Mason (1999) boundary. Slight adjustments, made in ArcMap 10.3, included joining region 2 and 3 to comprise the majority of the North region (where a relatively low number of sampled sites precluded keeping regions 2 and 3 separate), and pooling the more xeric Owyhee Desert (located in the center of the northern part of Nevada) within the drier South region. Use of the hydrographic boundary allowed for an accounting of broad-scale variation in habitat availability and selection patterns for sage-grouse (for example, habitat classified as highly suitable in wet areas could be classified as less suitable in drier areas because these habitats are less available). Interim statewide habitat suitability maps were clipped by the hydrographic boundary and relativized according to their respective maximum values for map classification purposes (see Coates and others 2014), the independent set of sage-grouse telemetry points was also split by the hydrographic boundary. For the spring map, 837 points informed the North region while 794 informed the South region. For the summer map, 604 points informed the North and 794 the South. For winter, 326 informed the North and 411 the South. For our composite annual map made from the multiplicative product of the seasonal maps, 1767 points were used for the North and 1999 for the South. References: Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T., Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern California—A decision-support tool for management: U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online) Mason, R.R. 1999. The National Flood-Frequency Program—Methods For Estimating Flood Magnitude And Frequency In Rural Areas In Nevada U.S. Geological Survey Fact Sheet 123-98 September, 1999, Prepared by Robert R. Mason, Jr. and Kernell G. Ries III, of the U.S. Geological Survey; and Jeffrey N. King and Wilbert O. Thomas, Jr., of Michael Baker, Jr., Inc. http://pubs.usgs.gov/fs/fs-123-98/ Miller RF, Chambers JC, Pyke DA, Pierson FB, Williams CJ. 2013. A review of fire effects on vegetation and soils in the Great Basin Region: response and ecological site characteristics. Gen. Tech. Rep. RMRS-GTR-308. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. http://www.fs.fed.us/rm/pubs/rmrs_gtr308.html. WBD, 2015. Coordinated effort between the United States Department of Agriculture-Natural Resources Conservation Service (USDA-NRCS), the United States Geological Survey (USGS), and the Environmental Protection Agency (EPA). The Watershed Boundary Dataset (WBD) was created from a variety of sources from each state and aggregated into a standard national layer for use in strategic planning and accountability. Watershed Boundary Dataset for {HUC#8}, Nevada_ST.zip [ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydro/FileGDB101/]. Available URL: http://datagateway.nrcs.usda.gov [Accessed 01/10/2015].

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future droughts for south Florida based on climate model output from the Multivariate Adaptive Constructed Analogs (MACA) downscaled climate dataset from the Coupled Model Intercomparison Project Phase 5 (CMIP5).
A Portable Document Format (PDF) file is provided which shows a map of the study area and four analysis regions: (1) the entire South Florida Water Management District (SFWMD), (2) the Lower West Coast (LWC) water supply region, (3) the Lower East Coast (LEC) water supply region, and (4) the Okeechobee plus (OKEE+) water supply meta-region consisting of Lake Okeechobee (OKEE), the Lower Kissimmee (LKISS), Upper Kissimmee (UKISS), and Upper East Coast (UEC) water supply regions in the SFWMD.

A feature class describing the spatial location of the regional boundary of the Southwest Region of the United States Forest Service. The Southwest Region encompasses the states of Arizona and New Mexico. The Southwest Region also manages three Grasslands that reside outside the region. These Grasslands are part of the Cibola National Forest and are located in the extreme western part of the Southern Region (Pan Handles of Texas and Oklahoma.) This dataset is derived from the USFS Southwestern Region ALP (Automated Lands Program) data Project. This is one of fourteen layers derived from ALP for the purpose of supplying data layers for recourse GIS analysis and data needs within the Forest Service. The fourteen layers are Administrative Forest, Administrative Region, National Grassland, Ranger District, Military Reserve, Other National Designated Area, Proclaimed Forest, Section, Special Interest Management Area, Surface Ownership, Surface Ownership Dissolve, Township, Wilderness Status, and Wild Scenic River . There were some gapes in the ALP data so a small portion of this dataset comes from CCF (Cartographic Feature Files) datasets and the USFS Southwestern Region Core Data Project. ALP data is developed from data sources of differing accuracy, scales, and reliability. Where available it is developed from GCDB (Geographic Coordinate Data Base) data. GCDB data is maintained by the Bureau of Land Management in their State Offices. GCDB data is mostly corner data. Not all corners and not all boundaries are available in GCDB so ALP also utilizes many other data sources like CFF data to derive its boundaries. GCDB data is in a constant state of change because land corners are always getting resurveyed. The GCDB data used in this dataset represents a snapshot in time at the time the GCDB dataset was published by the BLM and may not reflect the most current GCDB dataset available. The Forest Service makes no expressed or implied warranty with respect to the character, function, or capabilities of these data. These data are intended to be used for planning and analyses purposes only and are not legally binding with regards to title or location of National Forest System lands.Metadata and Data

The Digital Geologic Map of the southern third of the Hamlin quadrangle and part of the Paris Landing quadrangle, Kentucky is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Kentucky Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (hmln_metadata.txt; available at http://nrdata.nps.gov/fodo/nrdata/geology/gis/hmln_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (hmln_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 16N. That data is within the area of interest of Fort Donelson National Battlefield.

This database portrays the surface and shallow subsurface geology of the greater Charleston, S.C. region east of 80°30′ west and south of 33°15′ north. The region covers the entirety of Charleston County and portions of Berkeley, Colleton, Dorchester, and Georgetown Counties. Units locally exposed at the surface range in age from middle Eocene to Holocene, but most of the area is covered by Quaternary interglacial deposits. These are, from oldest to youngest, the Okefenokee, Waccamaw(?), Penholoway, Ladson, Ten Mile Hill, and Wando Formations and the Silver Bluff beds. Two cross sections (not included in the database), one running southeast from Harleyville to the coastline on James Island and the other running along the coastal barrier islands from the town of Edisto Beach to the northeast end of Bull Island at the southwest edge of Bull Bay, portray the complex geometry of the Paleogene and Neogene marine units that directly lie beneath the Quaternary units. These older units in ...

This digital data release contains previously published contours of thickness values of 23 named geological horizons, ranging in age from Cambrian to Tertiary. In alphabetical order, these horizons are the Atokan, Chesterian, Cretaceous, Desmoinesian, Guadalupian, Jurassic, Kinderhookian, Leonardian, Lower Hunton, Meramecian, Missourian, Morrowan, Ochoan, Osagean, Simpson-Viola, Sylvan-Cason, Tertiary, Timbered Hills-Arbuckle, Triassic, Upper Hunton, Virgillian, Wolfcampian, and Woodford-Chatanooga. The thicknesses were published in plates in the back matter of the Sedimentary Cover – North American Craton: U.S. volume of the larger Geological Society of America’s Decade of North American Geology effort. This volume, edited by L.L. Sloss, contains efforts from many geologists. In particular, the Southern Midcontinent plates were generated by K.S. Johnson, T.W. Amsden, R.E. Denison, S.P. Dutton, A.G. Goldstein, B. Rascoe, Jr., P.K Sutherland, and D.M. Thompson. In these thickness contours, spanning almost the entirety of the Phanerozoic, changes in basin configuration, uplift of source terranes, and resultant continental-scale depositional patterns can be witnessed.

The Digital Geologic Map of the southern third of the Tharpe quadrangle and part of the Hamlin quadrangle, Tennessee is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (thrp_metadata.txt; available at http://nrdata.nps.gov/fodo/nrdata/geology/gis/thrp_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (thrp_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 16N. That data is within the area of interest of Fort Donelson National Battlefield.

Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operator algorithms were used to map hydrothermally altered rocks in the central and southern parts of the Basin and Range province of the United States. The hydrothermally altered rocks mapped in this study include (1) hydrothermal silica-rich rocks (hydrous quartz, chalcedony, opal, and amorphous silica), (2) propylitic rocks (calcite-dolomite and epidote-chlorite mapped as separate mineral groups), (3) argillic rocks (alunite-pyrophyllite-kaolinite), and (4) phyllic rocks (sericite-muscovite). A series of hydrothermal alteration maps, which identify the potential locations of hydrothermal silica-rich, propylitic, argillic, and phyllic rocks on Landsat Thematic Mapper (TM) band 7 orthorectified images, and shape files of hydrothermal alteration units are provided.

As part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program study of the Mississippi Alluvial Plain (MAP), a shapefile representing seven generalized regions of the MAP extent as defined by Painter and Westerman (2018) was compiled. The generalized regions provide a framework for analysis, visualization, and regional comparisons of local data within the MAP. Regions north of the Red River were based on those described by Ackerman (1996). The Grand Prairie region includes the area north and east of the Arkansas River and south and west of the White River within the MAP. The Cache region includes the area north and east of the White River and the area generally west of Crowley’s Ridge, which lies outside of the MAP extent (Painter and Westerman, 2018), bisects the northern part of the MAP, and has elevations 100 to 250 feet (ft) higher than the MAP (Ackerman, 1996). The Delta region, which is roughly equivalent to the Yazoo River drainage, lies predominately in Mississippi and covers much of the area east of the Mississippi River within the MAP. The Boeuf region covers the area north of the Red River and the Little Old River - Mississippi River confluence, the area south of the Arkansas River, and the area west of the Delta region within the MAP. The St. Francis region lies generally east of Crowley’s Ridge and north of the Delta region in parts of Tennessee, Kentucky, Illinois, Missouri, and Arkansas. The regions south of the Red River and the Little Old River – Mississippi River confluence were based primarily on depositional environment (Saucier, 1994). The Atchafalaya region contains the Atchafalaya River. The Deltaic and Chenier Plains region lies south of the Atchafalaya region and covers the southernmost part of the MAP. In order to keep the regions contiguous, some relatively small parts of the Deltaic and Chenier Plains as defined by Saucier (1994) were included within the boundary of the Atchafalaya region defined for this study, and vice-versa. References Ackerman, D.J., 1996, Hydrology of the Mississippi River Valley alluvial aquifer, South-Central United States: U.S. Geological Survey Professional Paper 1416-D, 56 p., 8 pls. in pocket. Painter, J.A., and Westerman, D.A., 2018, Mississippi Alluvial Plain extent, November 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F70R9NMJ. Saucier, R.T., 1994, Geomorphology and Quaternary geologic history of the Lower Mississippi Valley: U.S. Army Engineer Waterways Experiment Station, Vicksburg, MS, Vols. I and II, 398 p., 28 pls.

The overall goal of the project was to systematically gather and quantify seafloor mapping data needs within the Southeast US study region (estuary to Exclusive Economic Zone (EEZ) of North Carolina, South Carolina, and Georgia). The results identify locations where stakeholder interests overlap with other organizations, leading to improved coordination of data needs, and leveraging collective resources to meet these shared goals. Already, priority areas identified by this study are being used by NOAA to focus planned fiscal year 2021 seafloor mapping missions. The web mapping application incorporating these results can be found here: https://noaa.maps.arcgis.com/home/item.html?id=04cdd2a68c4f427f893f2042f326dc80Spatial information on the arrangement of geological features, habitats and living marine resources on the seabed are often the foundation for decision-making in ecosystem management and ocean planning. Collecting information on the seabed depths and geomorphology is an expensive operation requiring airborne platforms like satellites, planes or drones, or small vessels to large research ships. Coordinating these data needs and data collection efforts will better leverage collective resources and meet shared goals. To help enable this coordination, in 2020 the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process, and online application to identify common data collection priorities for seafloor mapping, sampling, and visual surveys along shore and offshore of the Southeast United States (North Carolina, South Carolina, and Georgia).Twenty-five representatives from federal and state agencies, academic institutions, and non-governmental conservation groups, designated seafloor mapping priorities using an online prioritization tool. Participants allocated virtual coins across 5x5 km grid cells to denote their organization’s regions of seafloor mapping needs. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important and what data types were needed. Results were analyzed and mapped using statistical techniques to identify significant relationships between priorities, reasons for those priorities and data needs. Several common areas of interest were identified in the spatially explicit analysis of the responses. Nearshore surfzone along Georgia, South Carolina, and North Carolina were highlighted by several agencies and organizations interested in sediment and sand resources as well as potential for rocky reef habitats. Inshore estuarine areas were highlighted by state agencies and conservation groups interested in monitoring change in managed areas like National Estuarine Reserves. On the outer continental shelf, areas near Blake Plateau off South Carolina and the continental shelf break off North Carolina were identified by federal agencies and conservation organizations as areas of sensitive habitats or historically significantly shipwrecks and maritime resources.The seafloor mapping prioritization approach described in the Buckel et al. (2021) report associated with these data provides recommendations to organizations charged with mapping the seabed for navigation and commerce as well as resource assessments and management. Already, the priority areas identified in this exercise are being used by NOAA to focus planned seafloor mapping missions. Furthermore, the outcomes from this regional exercise contribute into a National Mapping Prioritization under the lead of NOAA to coordinate mapping activities across the entire US EEZ. Together, these quantitative seafloor mapping prioritization approaches will enable improved coordination and more efficient allocation of resources needed to conduct seafloor mapping providing data to support environmental stewardship, safe navigation and commerce.

The United States has an average elevation of roughly 2,500 feet (763m) above sea level, however there is a stark contrast in elevations across the country. Highest states Colorado is the highest state in the United States, with an average elevation of 6,800 feet (2,074m) above sea level. The 10 states with the highest average elevation are all in the western region of the country, as this is, by far, the most mountainous region in the country. The largest mountain ranges in the contiguous western states are the Rocky Mountains, Sierra Nevada, and Cascade Range, while the Appalachian Mountains is the longest range in the east - however, the highest point in the U.S. is Denali (Mount McKinley), found in Alaska. Lowest states At just 60 feet above sea level, Delaware is the state with the lowest elevation. Delaware is the second smallest state, behind Rhode Island, and is located on the east coast. Larger states with relatively low elevations are found in the southern region of the country - both Florida and Louisiana have an average elevation of just 100 feet (31m) above sea level, and large sections of these states are extremely vulnerable to flooding and rising sea levels, as well as intermittent tropical storms.

This part of DS 781 presents data for faults for the geologic and geomorphic map of the Offshore of Bolinas map area, California. The vector data file is included in "Faults_OffshoreBolinas.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreBolinas/data_catalog_OffshoreBolinas.html. The Offshore of Bolinas map area straddles the right-lateral transform boundary between the North American and Pacific plates and is cut by several active faults that cumulatively form a distributed shear zone, including the San Andreas Fault, the eastern strand of the San Gregorio Fault, the Golden Gate Fault, and the Potato Patch Fault (Bruns and others, 2002; Ryan and others, 2008). These faults are covered by sediment (mostly unit Qms) with no seafloor expression, and are mapped using seismic-reflection data (see field activities S-8-09-NC and L-1-06-SF). The San Andreas Fault is the primary plate-boundary structure and extends northwest through the southern part of the map area before passing onshore at Bolinas Lagoon. This section of the San Andreas Fault has an estimated slip rate of 17 to 24 mm/yr (U.S. Geological Survey, 2010), and the devastating Great 1906 California earthquake (M 7.8) is thought to have nucleated on the San Andreas a few kilometers south of this map area offshore of San Francisco (e.g., Bolt, 1968; Lomax, 2005). The San Andreas Fault forms the boundary between two distinct basement terranes, Upper Jurassic and Lower Cretaceous melange and graywacke sandstone of the Franciscan Complex to the east, and Late Cretaceous granitic and older metamorphic rocks of the Salinian block to the west. Franciscan Complex rocks (unit KJf, undivided) form seafloor outcrops adjacent to the shoreline southeast of Stinson Beach that are commonly continuous with onshore coastal outcrops. Faults were primarily mapped by interpretation of seismic reflection profile data (see field activities S-8-09-NC and L-1-06-SF). The seismic reflection profiles were collected between 2006 and 2009. References Cited Bolt, B.A., 1968, The focus of the 1906 California earthquake: Bulletin of the Seismological Society of America, v. 58, p. 457-471. Bruns, T.R., Cooper, A.K., Carlson, P.R., and McCulloch, D.S., 2002, Structure of the submerged San Andreas and San Gregorio fault zones in the Gulf of Farallones as inferred from high-resolution seismic-reflection data, in Parsons, T. (ed.), Crustal structure of the coastal and marine San Francisco Bay region, California: U.S. Geological Survey Professional Paper 1658, p. 77-117. Lomax, A., 2005, A reanalysis of the hypocentral location and related observations for the Great 1906 California earthquake: Bulletin of the Seismological Society of America, v. 95, p. 861-877. Ryan, H.F., Parsons, T., and Sliter, R.W., 2008. Vertical tectonic deformation associated with the San Andreas fault zone offshore of San Francisco, California. Tectonphysics, 429 (1-2), p. 209-224. U.S. Geological Survey and California Geological Survey, 2010, Quaternary fault and fold database for the United States, accessed April 5, 2012, from USGS website: http://earthquake.usgs.gov/hazards/qfaults/.

This digital map database represents the general distribution of bedrock and surficial geologic units, and related data in the Fonts Point and Seventeen Palms 7.5’ quadrangles, California. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. This investigation delineates the geologic framework of an area of 75 square kilometers (km2) located west of the Salton Sea in southern California. The study area encompasses the south flank of the Santa Rosa Mountains and the eastern part of the Borrego Badlands. In this study area, regionally important stratigraphic and structural elements collectively inform the late Cenozoic geologic evolution of the Anza-Borrego sector of the Salton Trough province. This geodatabase contains all of the map information used to publish the Preliminary Geologic Map of the Southern Santa Rosa Mountains and Borrego Badlands, San Diego County, Southern Califo ...